code: def test_prediction_with_no_verbs(self):
      input1 = {"sentence": "Blah no verb sentence."}
      archive = load_archive(
          self.FIXTURES_ROOT / "srl" / "serialization" / "model.tar.gz"
      )
      predictor = Predictor.from_archive(
          archive, "semantic-role-labeling"
      )
      result = predictor.predict_json(input1)
      assert result == {
          "words": ["Blah", "no", "verb", "sentence", "."],
          "verbs": [],
      }
  
      input2 = {"sentence": "This sentence has a verb."}
      results = predictor.predict_batch_json([input1, input2])
      assert results[0] == {
          "words": ["Blah", "no", "verb", "sentence", "."],
          "verbs": [],
      }
      assert results[1] == {
          "words": ["This", "sentence", "has", "a", "verb", "."],
          "verbs": [
              {
                  "verb": "has",
                  "description": "This sentence has a verb .",
                  "tags": ["O", "O", "O", "O", "O", "O"],
              }
          ],
      }
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/predictors/srl_test.py
imports: from __future__ import division
  from __future__ import absolute_import
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.models.archival import load_archive
  from allennlp.predictors import Predictor
label_desc: Use image node_id 3 for calling the TestSrlPredictor obj's underlying member method code with example usage: obj.test_prediction_with_no_verbs() without return types